Browse · topic

Hacking & security Telegram channels

Classified as Hacking & security — 22,851 entries on the register.

This topic is an LLM classification, not a measurement. A language model read each channel’s own title, description and recent posts and assigned the closest of 31 fixed categories. It is a judgement about what the channel is likely to be about; it can be wrong, and a channel can be revised to another topic on a later pass. The percentage on each row is the model’s own probability on this label — its confidence, not a measured accuracy.

22,851 entries carry this topic, 0.697% of the 3,276,581 the classifier has read, which is 77.8% of the 4,211,645 entries the register holds a subscriber measurement for. The figures below were measured at 10 Nov 2026, 00:11 UTC. The topic index has the other topics and the coverage in full.

Continuing — 50 more entries

花木兰(兰姐)
@HML33366Model confidence 78% · Channel · measured 4 November 2026215 subscribersکانال هگ وامنیت
@AfghanBegBazModel confidence 98% · Channel · measured 9 November 2026215 subscribersPrivat Prices
@KURTXT_ULPModel confidence 99% · Channel · measured 31 October 2026215 subscribersOXC3 | AGENCY
@oxc3agencyModel confidence 96% · Channel · measured 5 November 2026215 subscribersPrivat‏e ‏Society‏‏
@privatesocietyModel confidence 94% · Channel · measured 5 November 2026214 subscribersКИНГ СОФТ | ПРОЕКТЫ
@bomberking_officialModel confidence 96% · Channel · measured 29 October 2026214 subscribersWTB Bybit KYC
@bybitwtbModel confidence 87% · Channel · measured 8 November 2026214 subscribersFree database
@free_dbModel confidence 90% · Channel · measured 9 November 2026214 subscribers有趣的事要一起分享
@hubbpkModel confidence 50% · Channel · measured 4 November 2026214 subscribersRedirect
@jamtarashopeeModel confidence 57% · Channel · measured 30 October 2026214 subscribers🛫DedSec выплаты💴
@dedsecmoneyModel confidence 89% · Channel · measured 2 November 2026214 subscribersLEAKWAR
@LEAKWARModel confidence 88% · Channel · measured 28 October 2026214 subscribersCyberWhale
@CyberWhale_OfficialModel confidence 89% · Channel · measured 6 November 2026214 subscriberspy+
@amozshpythonModel confidence 78% · Channel · measured 8 November 2026214 subscribers公牛业务频道
@gongniu8888888Model confidence 86% · Channel · measured 8 November 2026214 subscribersSwappy Services
@swappyservicesModel confidence 98% · Channel · measured 5 November 2026214 subscribersnetcat OPENUPS
@catupsModel confidence 49% · Channel · measured 4 November 2026214 subscribers.
@bankmanbizModel confidence 99% · Channel · measured 9 November 2026214 subscribersZach market
@zachmarktModel confidence 76% · Channel · measured 8 November 2026214 subscribers❲ 𝐦𝐨𝐜𝐡𝐬𝐥𝐞𝐢 𝐬𝐡𝐨𝐩 ❳
@MochshopModel confidence 60% · Channel · measured 22 October 2026213 subscribersورودی | کیلگر هک
@KillgerHaCkModel confidence 75% · Channel · measured 5 November 2026213 subscribers#NBR UNBAN
@NBRunbanModel confidence 61% · Channel · measured 14 October 2026213 subscribersDEVIL
@OFFICAL_DEVIL_TEAMModel confidence 96% · Channel · measured 9 November 2026213 subscribersEvade.sh Proxies
@evade_shModel confidence 53% · Channel · measured 8 November 2026213 subscribers太阳🌅业务通知屋
@xinhaijituan86Model confidence 74% · Channel · measured 8 November 2026213 subscribersAny KYC Solution 🔵
@fast_kyc_verifyModel confidence 86% · Channel · measured 9 November 2026213 subscribersSecurity Alerts
@InternetSecurityAlertsModel confidence 94% · Channel · measured 8 November 2026212 subscribers老王无聊抽风发的
@sayforsblaowangModel confidence 51% · Channel · measured 27 October 2026212 subscribersRefundCentre (new)
@RefundCentreModel confidence 64% · Channel · measured 4 November 2026212 subscribersCICADA 3301
@trox_16Model confidence 94% · Channel · measured 9 October 2026212 subscribersSafe Internet | Безопасный интернет| Təhlükəsiz internet
@safeinternet_azModel confidence 81% · Channel · measured 30 October 2026212 subscribers出海内外各种软件
@xx51851Model confidence 57% · Channel · measured 7 November 2026212 subscribers晓克工作日记
@xiaokerijiModel confidence 87% · Channel · measured 8 November 2026212 subscribers🔰 Rgsm Team 🔰
@rgsm_OficialModel confidence 86% · Channel · measured 31 October 2026212 subscribersLatest Published CVE
@latest_published_cveModel confidence 96% · Channel · measured 6 November 2026212 subscribers𝙑𝙤𝙪𝙘𝙝𝙚𝙨
@tdouskiinfoModel confidence 89% · Channel · measured 6 November 2026212 subscribers勿鸣✈️互推(打广秒踢黑客聚集地)
@wumingnb999Model confidence 85% · Supergroup · measured 9 November 2026212 members九月出货通知群
@QAQjiuyueModel confidence 80% · Channel · measured 9 November 2026212 subscribers𝐋𝐄𝐙𝐄𝐍𝐃 𝐂𝐇𝐄𝐀𝐓𝐒™
@Lezend_CheatsModel confidence 39% · Channel · measured 4 November 2026212 subscribersbyteguard official
@byteguard_euModel confidence 66% · Channel · measured 3 November 2026212 subscribers小妞的业务发布
@aas88888888Model confidence 93% · Channel · measured 6 November 2026212 subscribers专业查档开户查在逃-开房记录-手机定位-微信记录-账单流水等
@SDJT011Model confidence 92% · Channel · measured 27 October 2026212 subscribersPentester
@pentesterModel confidence 98% · Channel · measured 20 October 2026211 subscribersCybercrimeinfo (ccinfo.nl)
@CCINFONLModel confidence 95% · Channel · measured 9 November 2026211 subscribers担保315-官方频道（可担保跑分，四件套，银行卡交易，USDT支付）
@danbao315Model confidence 86% · Channel · measured 6 November 2026211 subscribersTwitter Golden
@TwitterGoldeModel confidence 75% · Channel · measured 5 November 2026211 subscribersCyberProducts | Станислав Грибанов
@CyberSecProductsModel confidence 91% · Channel · measured 7 November 2026211 subscribersПереходник
@mlclhacksModel confidence 49% · Channel · measured 5 November 2026211 subscribersNeplox
@neploxauditModel confidence 52% · Channel · measured 5 November 2026211 subscribersbank_drops
@bank_dropsModel confidence 88% · Channel · measured 7 November 2026211 subscribers

Ordered by the most recent subscriber count we measured, largest first — not by how confident the model is or by how well a channel fits the topic. Membership and order come from a ranking that is rebuilt hourly and this page is cached for up to an hour more, so it can trail the live register by a couple of hours; a channel deleted or reclassified in that time is dropped when the page is next rebuilt rather than listed under the wrong topic. The confidence on each row is the model’s probability on Hacking & security, and a dash means none was recorded.

Every topic with a page

Other ways in

The same register, arranged by measured subscriber size, by the language of a channel’s own posts, or by how recently a channel last published — each of those is a measurement rather than a classification. “Other / unclassifiable” is counted on the browse index but has no page: it is where the classifier puts a channel it could not place, so a list of it would group entries by what we could not tell about them.